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X Demographics
Mendeley readers
Attention Score in Context
Title |
INGOT-DR: an interpretable classifier for predicting drug resistance in M. tuberculosis
|
---|---|
Published in |
Algorithms for Molecular Biology, August 2021
|
DOI | 10.1186/s13015-021-00198-1 |
Pubmed ID | |
Authors |
Hooman Zabeti, Nick Dexter, Amir Hosein Safari, Nafiseh Sedaghat, Maxwell Libbrecht, Leonid Chindelevitch |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 20% |
United Kingdom | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 2 | 9% |
Student > Bachelor | 2 | 9% |
Student > Master | 2 | 9% |
Professor > Associate Professor | 2 | 9% |
Student > Doctoral Student | 1 | 4% |
Other | 4 | 17% |
Unknown | 10 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 17% |
Engineering | 3 | 13% |
Unspecified | 2 | 9% |
Agricultural and Biological Sciences | 1 | 4% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Other | 2 | 9% |
Unknown | 10 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 November 2021.
All research outputs
#2,063,647
of 23,577,761 outputs
Outputs from Algorithms for Molecular Biology
#7
of 251 outputs
Outputs of similar age
#49,451
of 432,471 outputs
Outputs of similar age from Algorithms for Molecular Biology
#1
of 8 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 251 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 432,471 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them